Data Engineer

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines, specifically focused on supporting corporate lending operations.

• Proficiency in Python, PySpark and SQL
• Experience with ETL/ELT pipeline development
• Cloud data warehouse/lake experience
• Experience with AWS and services (e.g. Sagemaker AI, Event Bridge)
• Data modeling, quality, and lineage expertise
• Experience with ML model development and deployment

Nice to have:

• Corporate lending or financial services background
• Knowledge of credit decision processes
• Experience with LLM/GenAI integration
• Agentic AI implementations
• Understanding of model explainability

• Design, build, and maintain scalable data pipelines for internal banking systems and external data providers.
• Develop and optimize data models for corporate lending domains, including loan origination and repayment history.
• Implement data quality checks, validation rules, and data lineage.
• Manage and evolve the data warehouse and lake for analytics and reporting.
• Ensure compliance with regulatory and data governance requirements.
• Collaborate with product managers and domain experts in an agile setting.
• Document data pipelines, models, and key design decisions.